Increased sensitivity to age-related differences in brain functional connectivity during continuous multiple object tracking compared to resting-state
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Lars T. Westlye | Dag Alnæs | Erlend S. Dørum | Tobias Kaufmann | Ole A. Andreassen | Geneviève Richard | Knut K. Kolskår | Jan Egil Nordvik | O. Andreassen | T. Kaufmann | L. Westlye | J. Nordvik | Geneviève Richard | D. Alnæs | E. Dørum
[1] Thomas E. Nichols,et al. Controlling the familywise error rate in functional neuroimaging: a comparative review , 2003, Statistical methods in medical research.
[2] Ian M. McDonough,et al. Network complexity as a measure of information processing across resting-state networks: evidence from the Human Connectome Project , 2014, Front. Hum. Neurosci..
[3] Bharat B. Biswal,et al. Modulatory interactions between the default mode network and task positive networks in resting-state , 2014, PeerJ.
[4] S. Rombouts,et al. Reduced resting-state brain activity in the "default network" in normal aging. , 2008, Cerebral cortex.
[5] A. McIntosh,et al. Aging Effects on Whole-Brain Functional Connectivity in Adults Free of Cognitive and Psychiatric Disorders. , 2016, Cerebral cortex.
[6] J. Friedman. Regularized Discriminant Analysis , 1989 .
[7] Maurizio Corbetta,et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[8] Denise C. Park,et al. Neural Broadening or Neural Attenuation? Investigating Age-Related Dedifferentiation in the Face Network in a Large Lifespan Sample , 2012, The Journal of Neuroscience.
[9] Denise C. Park,et al. Alterations in cerebral metabolic rate and blood supply across the adult lifespan. , 2011, Cerebral cortex.
[10] Stephen M. Smith,et al. Probabilistic independent component analysis for functional magnetic resonance imaging , 2004, IEEE Transactions on Medical Imaging.
[11] Mark W. Woolrich,et al. Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.
[12] D. Hu,et al. Decoding Lifespan Changes of the Human Brain Using Resting-State Functional Connectivity MRI , 2012, PloS one.
[13] R. N. Spreng,et al. Attenuated anticorrelation between the default and dorsal attention networks with aging: evidence from task and rest , 2016, Neurobiology of Aging.
[14] Natasa Kovacevic,et al. Differential Maturation of Brain Signal Complexity in the Human Auditory and Visual System , 2009, Frontiers in human neuroscience.
[15] Justin L. Vincent,et al. Disruption of Large-Scale Brain Systems in Advanced Aging , 2007, Neuron.
[16] Lars T. Westlye,et al. Attentional load modulates large-scale functional brain connectivity beyond the core attention networks , 2015, NeuroImage.
[17] U. Lindenberger. Human cognitive aging: Corriger la fortune? , 2014, Science.
[18] F. Deligianni,et al. Relating resting-state fMRI and EEG whole-brain connectomes across frequency bands , 2014, Front. Neurosci..
[19] I. Melle,et al. Disintegration of Sensorimotor Brain Networks in Schizophrenia. , 2015, Schizophrenia bulletin.
[20] D H Brainard,et al. The Psychophysics Toolbox. , 1997, Spatial vision.
[21] D G Pelli,et al. The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.
[22] James B. Rowe,et al. The effect of ageing on fMRI: Correction for the confounding effects of vascular reactivity evaluated by joint fMRI and MEG in 335 adults , 2015, Human brain mapping.
[23] Koene R. A. Van Dijk,et al. Less head motion during MRI under task than resting-state conditions , 2017, NeuroImage.
[24] Zhishun Wang,et al. Visual inspection of independent components: Defining a procedure for artifact removal from fMRI data , 2010, Journal of Neuroscience Methods.
[25] M. V. D. Heuvel,et al. Exploring the brain network: A review on resting-state fMRI functional connectivity , 2010, European Neuropsychopharmacology.
[26] O. Andreassen,et al. Disrupted global metastability and static and dynamic brain connectivity across individuals in the Alzheimer’s disease continuum , 2017, Scientific Reports.
[27] Z W Pylyshyn,et al. Tracking multiple independent targets: evidence for a parallel tracking mechanism. , 1988, Spatial vision.
[28] Klaus P. Ebmeier,et al. Timing of onset of cognitive decline: results from Whitehall II prospective cohort study , 2012, BMJ : British Medical Journal.
[29] Lars T. Westlye,et al. The brain functional connectome is robustly altered by lack of sleep , 2016, NeuroImage.
[30] M. D’Esposito,et al. Alterations in the BOLD fMRI signal with ageing and disease: a challenge for neuroimaging , 2003, Nature Reviews Neuroscience.
[31] M. Jenkinson. Non-linear registration aka Spatial normalisation , 2007 .
[32] Dick J. Veltman,et al. Aging affects both perceptual and lexical/semantic components of word stem priming: An event-related fMRI study , 2005, Neurobiology of Learning and Memory.
[33] N. Volkow,et al. Functional connectivity and brain activation: a synergistic approach. , 2014, Cerebral cortex.
[34] Maarten Mennes,et al. Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI , 2015, NeuroImage.
[35] Matthias M. Müller,et al. Feature-Selective Attention in Healthy Old Age: A Selective Decline in Selective Attention? , 2014, The Journal of Neuroscience.
[36] L. Nyberg,et al. Elevated hippocampal resting-state connectivity underlies deficient neurocognitive function in aging , 2014, Proceedings of the National Academy of Sciences.
[37] J. Callicott,et al. Age-related alterations in default mode network: Impact on working memory performance , 2010, Neurobiology of Aging.
[38] Aapo Hyvärinen,et al. Group-PCA for very large fMRI datasets , 2014, NeuroImage.
[39] K. Strimmer,et al. Statistical Applications in Genetics and Molecular Biology A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics , 2011 .
[40] C. Grady,et al. The modulation of BOLD variability between cognitive states varies by age and processing speed. , 2013, Cerebral cortex.
[41] Y. Jiao,et al. Selective Vulnerability Related to Aging in Large-Scale Resting Brain Networks , 2014, PloS one.
[42] Mark W. Woolrich,et al. Network modelling methods for FMRI , 2011, NeuroImage.
[43] Jeroen van der Grond,et al. Imaging the default mode network in aging and dementia. , 2012, Biochimica et biophysica acta.
[44] Olivier Ledoit,et al. Improved estimation of the covariance matrix of stock returns with an application to portfolio selection , 2003 .
[45] John O. Willis,et al. Wechsler Abbreviated Scale of Intelligence , 2014 .
[46] O. Sporns,et al. Organization, development and function of complex brain networks , 2004, Trends in Cognitive Sciences.
[47] C. Grady,et al. Blood Oxygen Level-Dependent Signal Variability Is More than Just Noise , 2010, The Journal of Neuroscience.
[48] A. Dale,et al. Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.
[49] Lars T. Westlye,et al. Network-specific effects of age and in-scanner subject motion: A resting-state fMRI study of 238 healthy adults , 2012, NeuroImage.
[50] T. Hänninen,et al. [Cognitive aging]. , 2000, Duodecim; laaketieteellinen aikakauskirja.
[51] Natasa Kovacevic,et al. Increased Brain Signal Variability Accompanies Lower Behavioral Variability in Development , 2008, PLoS Comput. Biol..
[52] Phillip Bonacich,et al. Some unique properties of eigenvector centrality , 2007, Soc. Networks.
[53] R. Buckner. Memory and Executive Function in Aging and AD Multiple Factors that Cause Decline and Reserve Factors that Compensate , 2004, Neuron.
[54] C. Grady,et al. Age differences in the functional interactions among the default, frontoparietal control, and dorsal attention networks , 2016, Neurobiology of Aging.
[55] Erlend S. Dørum,et al. Age‐related differences in brain network activation and co‐activation during multiple object tracking , 2016, Brain and behavior.
[56] J. Goh. Functional Dedifferentiation and Altered Connectivity in Older Adults: Neural Accounts of Cognitive Aging. , 2011, Aging and disease.
[57] Abraham Z. Snyder,et al. Partial covariance based functional connectivity computation using Ledoit–Wolf covariance regularization , 2015, NeuroImage.
[58] Cindy Lustig,et al. Brain aging: reorganizing discoveries about the aging mind , 2005, Current Opinion in Neurobiology.
[59] Stephen M. Smith,et al. A global optimisation method for robust affine registration of brain images , 2001, Medical Image Anal..
[60] Denise C. Park,et al. Aging reduces neural specialization in ventral visual cortex. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[61] M. Jenkinson,et al. Non-linear optimisation FMRIB Technial Report TR 07 JA 1 , 2007 .
[62] P. Cavanagh,et al. Tracking multiple targets with multifocal attention , 2005, Trends in Cognitive Sciences.
[63] Denise C. Park,et al. Decreased segregation of brain systems across the healthy adult lifespan , 2014, Proceedings of the National Academy of Sciences.
[64] E. McAuley,et al. Frontiers in Aging Neuroscience Aging Neuroscience , 2022 .
[65] A. Dale,et al. Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry. , 2010, Cerebral cortex.
[66] Toshiharu Nakai,et al. Age-related changes in resting-state and task-activated functional MRI networks , 2013, 2013 7th International Symposium on Medical Information and Communication Technology (ISMICT).
[67] C. Grady,et al. The Importance of Being Variable , 2011, The Journal of Neuroscience.
[68] Elizabeth A. Kensinger,et al. Cognition in Aging and Age-Related Disease , 2009 .
[69] Lars T. Westlye,et al. Consistent Functional Connectivity Alterations in Schizophrenia Spectrum Disorder: A Multisite Study , 2017, Schizophrenia bulletin.
[70] P. Matthews,et al. Distinct patterns of brain activity in young carriers of the APOE e4 allele , 2009, NeuroImage.
[71] Cheryl L. Grady,et al. Understanding variability in the BOLD signal and why it matters for aging , 2013, Brain Imaging and Behavior.
[72] P. Reuter-Lorenz,et al. Neurocognitive Aging and the Compensation Hypothesis , 2008 .
[73] Lars T. Westlye,et al. Functional connectivity indicates differential roles for the intraparietal sulcus and the superior parietal lobule in multiple object tracking , 2015, NeuroImage.
[74] L. Nyberg,et al. Opposing Effects of Aging on Large-Scale Brain Systems for Memory Encoding and Cognitive Control , 2012, The Journal of Neuroscience.
[75] E. Glisky. Changes in Cognitive Function in Human Aging , 2007 .
[76] P. Baltes,et al. Emergence of a powerful connection between sensory and cognitive functions across the adult life span: a new window to the study of cognitive aging? , 1997, Psychology and aging.
[77] U. Lindenberger,et al. Age-based structural dynamics between perceptual speed and knowledge in the Berlin Aging Study: direct evidence for ability dedifferentiation in old age. , 2003, Psychology and aging.
[78] T. Q. Irigaray,et al. Intellectual abilities in Alzheimer's disease patients: Contributions from the Wechsler Abbreviated Scale of Intelligence (WASI) , 2010 .
[79] Bruce Fischl,et al. Accurate and robust brain image alignment using boundary-based registration , 2009, NeuroImage.
[80] Ludovica Griffanti,et al. Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers , 2014, NeuroImage.